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Taking Hunan Province as a typical case area, this paper integrates heterogeneous data such as iron and steel product data and social variable data, and adopts a bottom-up approach to estimate the steel in-use stock in the five end-use sectors, namely, buildings, infrastructure, transportation, machinery and durable goods from 1990 to 2021, and analyzes the driving mechanism by innovatively integrating the IPAT model, the LMDI model, and the multivariate linear regression method. The results of the study show that the steel in-use stock and the steel in-use stock per capita in Hunan Province have increased by 12 times and 10times in the past 32 years, and will reach 260 million tons and 3.6 tons per person respectively in 2021. In terms of the sectoral distribution of the steel in-use stock, the share of construction steel in-use stock reaches more than 56% every year. The density of the steel in-use stock shows regional unevenness, and the spatial heterogeneity shows "core-edge" gradient differentiation, with the high value area of stock density (>240000 t/km²) expanding along the vertical axis. Detection of driving factors shows that population growth, economic development and built-up area are the most important driving factors for the development and change of urban steel in-use stock. It is recommended to guide the industry to expand to the backward areas, give policy support, promote industrial integration and cluster development; accelerate the transformation of low-carbon industry, encourage technology research and development and application, and promote energy substitution; implement environmental protection related systems and mechanisms, and strengthen environmental protection publicity and education.

, authors=Shuang CHENG¹, You-liang CHEN^{1, 2, *}, Xue-xi YANG², authorsList=Shuang CHENG, You-liang CHEN, Xue-xi YANG, authorCompany=null, correspAuthors=You-liang CHEN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314918676344697666, articleId=1314918675883324223, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=城市矿产钢铁在用存量估算及空间异质性研究—以湖南省为例, columnId=1234106419604157142, journalTitle=中国环境科学, columnName=环境影响评价与管理, runingTitle=null, highlight=null, articleAbstract=

以湖南省为典型案例区，集成钢铁产品数据、社会变量数据等异构数据，采用自下而上方法估算了1990~2021年建筑物、基础设施、交通工具、机械设施和耐用品五大终端部门钢铁在用存量，并创新性融合IPAT模型、LMDI模型与多元线性回归方法解析其驱动机制．结果表明，湖南省钢铁在用存量及人均在用存量在过去32a内分别增长了12倍和10倍，于2021年分别达到2.6亿t和3.6t/人；在钢铁在用存量的行业分布结构上，建筑钢铁在用存量每年的比重均达到 56%以上；钢铁在用存量密度呈现出区域不均的特点，空间异质性呈现“核心-边缘”梯度分异，存量密度高值区（>24万t/km²）沿竖轴线扩展；驱动因子探测显示，人口增长、经济发展和建成区面积是城市钢铁在用存量发展变化的最主要驱动因素．建议引导产业向落后地区扩展，给予政策支持，促进产业融合与集群发展；加快产业低碳化转型，鼓励技术研发与应用，推动能源替代；落实环保相关制度与机制，加强环保宣传教育．

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程霜（1999-），女，江西上饶人，江西理工大学硕士研究生，主要从事资源与环境等方面的研究．6120230147@mail.jxust.edu.cn.

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程霜（1999-），女，江西上饶人，江西理工大学硕士研究生，主要从事资源与环境等方面的研究．6120230147@mail.jxust.edu.cn.

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